Fan Wang

Orcid: 0000-0002-5373-4302

Affiliations:
  • Baidu Inc., Department of Natural Language Processing, NLP, Shenzhen, China


According to our database1, Fan Wang authored at least 53 papers between 2019 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
GIaNt: Protein-Ligand Binding Affinity Prediction via Geometry-Aware Interactive Graph Neural Network.
IEEE Trans. Knowl. Data Eng., May, 2024

Learning to Select External Knowledge With Multi-Scale Negative Sampling.
IEEE ACM Trans. Audio Speech Lang. Process., 2024

Exploring the Causality of End-to-End Autonomous Driving.
CoRR, 2024

BEVWorld: A Multimodal World Model for Autonomous Driving via Unified BEV Latent Space.
CoRR, 2024

Benchmarking General Purpose In-Context Learning.
CoRR, 2024

2023
A method for multiple-sequence-alignment-free protein structure prediction using a protein language model.
Nat. Mac. Intell., October, 2023

RLCharge: Imitative Multi-Agent Spatiotemporal Reinforcement Learning for Electric Vehicle Charging Station Recommendation.
IEEE Trans. Knowl. Data Eng., June, 2023

Structure-aware protein self-supervised learning.
Bioinform., April, 2023

Pre-Training on Large-Scale Generated Docking Conformations with HelixDock to Unlock the Potential of Protein-ligand Structure Prediction Models.
CoRR, 2023

Query Enhanced Knowledge-Intensive Conversation via Unsupervised Joint Modeling.
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

Towards Boosting the Open-Domain Chatbot with Human Feedback.
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

2022
Evolving Decomposed Plasticity Rules for Information-Bottlenecked Meta-Learning.
Trans. Mach. Learn. Res., 2022

Reinforcement Learning With Evolutionary Trajectory Generator: A General Approach for Quadrupedal Locomotion.
IEEE Robotics Autom. Lett., 2022

Geometry-enhanced molecular representation learning for property prediction.
Nat. Mach. Intell., 2022

PLATO-K: Internal and External Knowledge Enhanced Dialogue Generation.
CoRR, 2022

GEM-2: Next Generation Molecular Property Prediction Network with Many-body and Full-range Interaction Modeling.
CoRR, 2022

HelixFold-Single: MSA-free Protein Structure Prediction by Using Protein Language Model as an Alternative.
CoRR, 2022

HelixFold: An Efficient Implementation of AlphaFold2 using PaddlePaddle.
CoRR, 2022

TCR: A Transformer Based Deep Network for Predicting Cancer Drugs Response.
CoRR, 2022

SINC: Service Information Augmented Open-Domain Conversation.
CoRR, 2022

Structure-aware Protein Self-supervised Learning.
CoRR, 2022

HelixADMET: a robust and endpoint extensible ADMET system incorporating self-supervised knowledge transfer.
Bioinform., 2022

BatchDTA: implicit batch alignment enhances deep learning-based drug-target affinity estimation.
Briefings Bioinform., 2022

DTSyn: a dual-transformer-based neural network to predict synergistic drug combinations.
Briefings Bioinform., 2022

PLATO-XL: Exploring the Large-scale Pre-training of Dialogue Generation.
Proceedings of the Findings of the Association for Computational Linguistics: AACL-IJCNLP 2022, 2022

Q-TOD: A Query-driven Task-oriented Dialogue System.
Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

HelixMO: Sample-Efficient Molecular Optimization in Scene-Sensitive Latent Space.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2022

2021
TOD-DA: Towards Boosting the Robustness of Task-oriented Dialogue Modeling on Spoken Conversations.
CoRR, 2021

CELLS: Cost-Effective Evolution in Latent Space for Goal-Directed Molecular Generation.
CoRR, 2021

Amendable Generation for Dialogue State Tracking.
CoRR, 2021

Do What Nature Did To Us: Evolving Plastic Recurrent Neural Networks For Task Generalization.
CoRR, 2021

ADER: Adapting between Exploration and Robustness for Actor-Critic Methods.
CoRR, 2021

ChemRL-GEM: Geometry Enhanced Molecular Representation Learning for Property Prediction.
CoRR, 2021

A Unified Pre-training Framework for Conversational AI.
CoRR, 2021

Intelligent Electric Vehicle Charging Recommendation Based on Multi-Agent Reinforcement Learning.
Proceedings of the WWW '21: The Web Conference 2021, 2021

Action Set Based Policy Optimization for Safe Power Grid Management.
Proceedings of the Machine Learning and Knowledge Discovery in Databases. Applied Data Science Track, 2021

Multimodal Pre-Training Model for Sequence-based Prediction of Protein-Protein Interaction.
Proceedings of the Machine Learning in Computational Biology Meeting, 2021

Structure-aware Interactive Graph Neural Networks for the Prediction of Protein-Ligand Binding Affinity.
Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021

SSML: Self-Supervised Meta-Learner for En Route Travel Time Estimation at Baidu Maps.
Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021

Proactive Interaction Framework for Intelligent Social Receptionist Robots.
Proceedings of the IEEE International Conference on Robotics and Automation, 2021

Docking-based Virtual Screening with Multi-Task Learning.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2021

PLATO-2: Towards Building an Open-Domain Chatbot via Curriculum Learning.
Proceedings of the Findings of the Association for Computational Linguistics: ACL/IJCNLP 2021, 2021

2020
Distance-aware Molecule Graph Attention Network for Drug-Target Binding Affinity Prediction.
CoRR, 2020

ConSTGAT: Contextual Spatial-Temporal Graph Attention Network for Travel Time Estimation at Baidu Maps.
Proceedings of the KDD '20: The 26th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2020

PLATO: Pre-trained Dialogue Generation Model with Discrete Latent Variable.
Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, 2020

2019
Efficient and Robust Reinforcement Learning with Uncertainty-based Value Expansion.
CoRR, 2019

MBCAL: A Simple and Efficient Reinforcement Learning Method for Recommendation Systems.
CoRR, 2019

PLATO: Pre-trained Dialogue Generation Model with Discrete Latent Variable.
CoRR, 2019

Artificial Intelligence for Prosthetics - challenge solutions.
CoRR, 2019

Sequential Evaluation and Generation Framework for Combinatorial Recommender System.
CoRR, 2019

Learning to Select Knowledge for Response Generation in Dialog Systems.
Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

Generating Multiple Diverse Responses with Multi-Mapping and Posterior Mapping Selection.
Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

Know More about Each Other: Evolving Dialogue Strategy via Compound Assessment.
Proceedings of the 57th Conference of the Association for Computational Linguistics, 2019


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